2,519 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Hong Kong" positions at Duke University
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family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing
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family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing
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Culture Lab and Dr. Salvador here: https://sites.duke.edu/culturelab/ . The Associate in Research would work primarily on projects examining cultural psychological processes in Latin American groups
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holography and electronic systems for control and analysis of instruments, applying these systems to the study of human diseases, and acquiring and analyzing clinical data sets. Programming skills should
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clerical functions to support accurate departmental record‑keeping, including processing forms, documents, and inventory data. Participate in scheduled inventories; record markdowns and appropriately manage
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. Duke’s introductory physics course sequences are described here: https://physics.duke.edu/undergraduate/course-selection/introductory-physics-course Introductory physics is usually taught by a team of
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. Candidates should hold an advanced degree and/or equivalent combination of relevant education and experience. Applicants should submit their materials electronically at https://academicjobsonline.org/ajo/jobs
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us and help shape the financial future of Duke University’s School of Medicine! Be You. Under the direction of the School of Medicine (SOM) Assistant Dean for Data Analytics and Business Intelligence
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collaboration meetings may require on‑site presence. This position does NOT offer visa sponsorship. Work Arrangement This position is hybrid‑eligible. The employee must reside in a https://remotework.duke.edu
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emphasis on active learning approaches to guide experimental design cycles. In addition, we are developing deep learning models that map genetic information of microbial species to their functional